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eGain Launches AI Connectors for Microsoft Copilot, Claude, Google Gemini, and Cursor

eGain unveils AI Knowledge Connectors for Microsoft Copilot, Claude, Google Gemini, and Cursor, ensuring unified knowledge that boosts enterprise efficiency and compliance.

SUNNYVALE, Calif., April 7, 2026 (GLOBE NEWSWIRE) — eGain (NASDAQ: EGAN) has unveiled new enterprise AI platform connectors designed to integrate major AI tools including Microsoft Copilot, Anthropic Claude, Google Gemini CLI, and Cursor with its eGain AI Knowledge Hub. This integration aims to provide organizations with a unified, governed knowledge source, ensuring that AI models and developer environments operate with accurate and timely information, thus reducing reliance on fragmented data that can hinder performance.

Research from MIT and leading analyst firms indicates that many enterprise AI initiatives face high failure rates due to a lack of a cohesive knowledge foundation. When AI systems draw from ungoverned sources, they often yield conflicting outputs, increase compliance risks, and impede broader AI adoption efforts.

The new connectors are part of eGain’s AI Knowledge Connector suite, an architecture that aims to streamline and govern enterprise knowledge. This system is particularly relevant as businesses transition from AI that merely answers queries to AI that performs actions. The absence of a governed knowledge base can lead to erroneous actions, amplifying mistakes across every interaction and potentially resulting in costly operational and compliance failures.

eGain’s AI Knowledge Connectors support the Model Context Protocol (MCP), an emerging standard for linking AI agents to enterprise systems. The company has introduced pre-built connectors compatible with popular agentic developer environments, including Windsurf, VS Code, and Kiro, while also allowing for integration with any other MCP-compatible platform. Unlike traditional retrieval methods, eGain’s approach delivers certified answers with source citations, giving connected models and environments access to verifiable and traceable knowledge. The same governance that benefits customer service and employee productivity can now enhance enterprise software development.

With these new connectors, enterprises can bolster their operations effectively. Microsoft Copilot users can access a reliable knowledge foundation, ensuring that employees receive accurate, policy-compliant responses without the need to switch platforms. Claude deployments can now operate consistently from a single source of enterprise content, guaranteeing compliant answers across applications. Google Gemini can be seamlessly linked with Workspace, Cloud, and developer tools, enhancing the accuracy of information for all teams within the Google ecosystem. Furthermore, AI-assisted development within Cursor and other leading IDEs like Windsurf, VS Code, and Kiro can now leverage governed enterprise knowledge, allowing engineering teams to accelerate their work while maintaining compliance and traceability.

“In a world where AI is no longer just answering questions but performing assured actions on behalf of employees and customers, the quality of your knowledge determines the quality of your AI,” stated Ashu Roy, CEO of eGain. “These new enterprise AI platform connectors allow organizations to apply one trusted knowledge foundation across Copilot, Claude, Gemini, Cursor, and whatever comes next.”

According to Gartner, organizations are increasingly recognizing modern knowledge management as a critical component for successfully implementing generative AI and agentic AI solutions aimed at improving customer service and employee productivity.

eGain’s AI Knowledge Connectors are categorized into four interconnected types designed to unify and manage enterprise knowledge across various platforms. Content Connectors are used to aggregate information from existing systems such as policy repositories and CRM knowledge bases, preventing teams from needing to recreate already available content. Data Connectors deliver real-time access to enterprise data, ensuring every user and system has the context necessary for producing reliable and accurate responses without the burden of traditional integration pipelines. Experience Connectors provide verified answers within the tools that teams already utilize, such as Salesforce, SAP, and ticketing systems like Zendesk. Finally, Process Connectors help maintain compliance by integrating identity, access rules, and business policies, ensuring AI outputs remain accurate and within enterprise guidelines.

eGain’s comprehensive range of AI Knowledge Connectors spans applications, data platforms, content repositories, internal processes, and agentic IDEs, with numerous integrations available on the eGain Marketplace. As organizations increasingly rely on AI for critical functions, the importance of a unified knowledge foundation cannot be overstated, as it directly influences operational efficiency and compliance.

eGain is a recognized leader in AI-powered knowledge management and customer experience automation solutions, boasting over 25 years of expertise. Its offerings assist enterprises in merging siloed content and automating knowledge workflows to deliver measurable returns on AI investment.

For more information, visit www.eGain.com.

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